👤 Guli Jiang

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧬 Extraction
873
Articles
597
Name variants
Also published as: Aimin Jiang, Anan Jiang, Bao Jiang, Baoping Jiang, Bei Jiang, Bin Jiang, Bing-Hua Jiang, Bingdong Jiang, Bo Jiang, Bowen Jiang, Caiyun Jiang, Can Jiang, Cen Jiang, Changtao Jiang, Chao Jiang, Chao Qiang Jiang, Chaoqian Jiang, Chaoqiang Jiang, Charlie Jiang, Chen Jiang, Chen-Chen Jiang, Chen-Yang Jiang, Cheng Jiang, Cheng-Yan Jiang, Chengxian Jiang, Chengzhi Jiang, Chenke Jiang, Chenyang Jiang, Chongyi Jiang, Chuanhe Jiang, Chun-Guo Jiang, Chun-Lei Jiang, Chunhui Jiang, Chunmiao Jiang, Chunping Jiang, Chunqing Jiang, Chunyang Jiang, Congqing Jiang, Cui-Ping Jiang, Cuihua Jiang, Cuiping Jiang, Da Jiang, Dahai Jiang, Dan Jiang, Dandan Jiang, Danjie Jiang, Dawei Jiang, Deke Jiang, Dong Jiang, Dong-Neng Jiang, Dongmei Jiang, Dongsheng Jiang, Dongwen Jiang, Dongyang Jiang, F Jiang, Fan Jiang, Fang Jiang, Fangqin Jiang, Fei Jiang, Feng Jiang, Fengjuan Jiang, Fengli Jiang, Fengqi Jiang, Fengxian Jiang, Fengze Jiang, Fu-Sheng Jiang, Fuling Jiang, Gang Jiang, Gaowei Jiang, Gening Jiang, Guan-Min Jiang, Guang Jiang, Guang-Jian Jiang, Guanglong Jiang, Guangpeng Jiang, Guangyu Jiang, Guangzhen Jiang, Guannan Jiang, Gui-Yang Jiang, Guitao Jiang, Guiya Jiang, Guiyang Jiang, Guoheng Jiang, Guoliang Jiang, Guoqiang Jiang, Guoyan Jiang, Guozhi Jiang, H Jiang, Hai-He Jiang, Hai-Lu Jiang, Hai-Lun Jiang, Hai-ou Jiang, Haibo Jiang, Haifang Jiang, Haifeng Jiang, Haijun Jiang, Hailun Jiang, Haiping Jiang, Haiqiang Jiang, Haisong Jiang, Haixing Jiang, Haiyang Jiang, Haiying Jiang, Haizhen Jiang, Han Jiang, Han-Tao Jiang, Hanjie Jiang, Hanxue Jiang, Hao Jiang, Haowen Jiang, He Jiang, Hemin Jiang, Hequn Jiang, Hong Jiang, Hong-Li Jiang, Hong-Yan Jiang, Hong-liu Jiang, Hongcheng Jiang, Hongchi Jiang, Hongjing Jiang, Hongkun Jiang, Hongli Jiang, Hongxiang Jiang, Hongyu Jiang, Houbo Jiang, Hu Jiang, Hua Jiang, Huajun Jiang, Hualiang Jiang, Huanglei Jiang, Huanguo Jiang, Huanyu Jiang, Huanzhu Jiang, Huawei Jiang, Hugang Jiang, Hui Jiang, Hui-Hui Jiang, Huili Jiang, Huiqing Jiang, Huiyong Jiang, J Jiang, Jessica Li Jiang, Ji Jiang, Ji-yao Jiang, Jia Jiang, Jiahao Jiang, Jiahong Jiang, Jian Jiang, Jian-Dong Jiang, Jian-Gang Jiang, Jianan Jiang, Jiandong Jiang, Jianhua Jiang, Jianhui Jiang, Jianming Jiang, Jianrong Jiang, Jiansen Jiang, Jianwei Jiang, Jiaqi Jiang, Jiawei Jiang, Jiaxuan Jiang, Jie Jiang, Jie-Feng Jiang, Jieqing Jiang, Jieyi Jiang, Jiji Jiang, Jin Jiang, Jin-Yan Jiang, Jinfeng Jiang, Jing Jiang, Jing-Si Jiang, Jingbo Jiang, Jinghua Jiang, Jingjing Jiang, Jingwei Jiang, Jingwen Jiang, Jingyan Jiang, Jingzhou Jiang, Jinhong Jiang, Jinhua Jiang, Jinlan Jiang, Jinlun Jiang, Jinxia Jiang, Jinyun Jiang, Jishun Jiang, Jiwei Jiang, Jiyang Jiang, Jiyue Jiang, Jun Jiang, Jun-Jie Jiang, Junfang Jiang, K Jiang, Kai Jiang, Kang Jiang, Ke Jiang, Kele Jiang, Kuan Jiang, Kunyin Jiang, Kuo-Ching Jiang, L Jiang, Lai Jiang, Lan Jiang, Lan-Lan Jiang, Lei Jiang, Li Jiang, Li-Dan Jiang, Li-He Jiang, Li-Hong Jiang, Li-Rong Jiang, Li-Sha Jiang, Lianguang Jiang, Lianyong Jiang, Lihong Jiang, Lihuan Jiang, Lijing Jiang, Lijuan Jiang, Lijun Jiang, Lili Jiang, Lin Jiang, Ling Jiang, Ling-Xiang Jiang, Lingli Jiang, Linglin Jiang, Lingling Jiang, Linke Jiang, Linlin Jiang, Linying Jiang, Liping Jiang, Liqing Jiang, Lishi Jiang, Liuyan Jiang, Lixin Jiang, Liying Jiang, Long Jiang, Longying Jiang, Lu Jiang, Man Jiang, Mei Jiang, Meichen Jiang, Meichun Jiang, Meimei Jiang, Meixiu Jiang, Meng Jiang, Meng-Ting Jiang, Mengjie Jiang, Mengmeng Jiang, Mengqiang Jiang, Mengxi Jiang, Mengxue Jiang, Mengya Jiang, Mengzhu Jiang, Min Jiang, Ming Jiang, Ming-Rui Jiang, Mingchen Jiang, Minghao Jiang, Minghu Jiang, Mingshan Jiang, Mingxing Jiang, Mingyang Jiang, Minqing Jiang, Mona Zhi Ling Mai Jiang, Mouyan Jiang, Mujun Jiang, Nan Jiang, Nanying Jiang, Neng Jiang, Nengjing Jiang, Nili Jiang, Ning Jiang, Ou Jiang, Pan Jiang, Pan-Qiang Jiang, Pei Jiang, Peipei Jiang, Peng Jiang, Pengling Jiang, Ping Jiang, Ping-Ping Jiang, Pu Jiang, Qi Jiang, Qi-Chen Jiang, Qian Jiang, Qiang Jiang, Qianzhu Jiang, Qichen Jiang, Qicheng Jiang, Qin Jiang, Qing Jiang, Qing-Wu Jiang, Qing-Yan Jiang, Qinghua Jiang, Qingkun Jiang, Qingping Jiang, Qinyang Jiang, Qiu Jiang, Qiu-Le Jiang, Qiuxiao Jiang, Qiuyan Jiang, Qiwei Jiang, Qixia Jiang, Renjun Jiang, Rong Jiang, Rongqi Jiang, Rongtao Jiang, Rongyan Jiang, Roulan Jiang, Ru-Chao Jiang, Ruirui Jiang, Ruiwei Jiang, Rulang Jiang, Runqiu Jiang, Runshen Jiang, Runyang Jiang, S Q Jiang, Shali Jiang, Shan Jiang, Shan-Shan Jiang, Shanfeng Jiang, Shanshan Jiang, Shantong Jiang, Shaokai Jiang, Shaoping Jiang, Shaowen Jiang, Shaoxiong Jiang, Sharon Jiang, Sheng Jiang, Shengnan Jiang, Shengwang Jiang, Shengying Jiang, Shi Jiang, Shih Sheng Jiang, ShihSheng Jiang, Shimin Jiang, Shiqing Jiang, Shirui Jiang, Shiwen Jiang, Shou-Yin Jiang, Shoufang Jiang, Shoulei Jiang, Shouwen Jiang, Shu Jiang, Shu-Zhen Jiang, Shuai Jiang, Shuang Jiang, Shusuan Jiang, Shuying Jiang, Shuzhong Jiang, Si-Liang Jiang, Sicong Jiang, Simon W Jiang, Sixiong Jiang, Siyi Jiang, Siyu Jiang, Songhao Jiang, Su Jiang, Sujun Jiang, Susu Jiang, Suyu Jiang, T Jiang, Tao Jiang, Tengfei Jiang, Tengyong Jiang, Tian Jiang, Tianlin Jiang, Tianqi Jiang, Tianyu Jiang, Ting Jiang, Ting-Bo Jiang, Ting-Ting Jiang, Ting-Wang Jiang, Tingbo Jiang, Tingting Jiang, Tingyun Jiang, Tongcui Jiang, W Jiang, Wan-Sheng Jiang, Wangjie Jiang, Wanqing Jiang, Wei I Jiang, Wei Jiang, Wei-Cheng Jiang, Weibo Jiang, Weifan Jiang, Weihao Jiang, Weijun Jiang, Weimin Jiang, Weiqi Jiang, Weixi Jiang, Wen G Jiang, Wen Jiang, Wen-Hua Jiang, Wen-Ping Jiang, Wen-Qi Jiang, Wen-hui Jiang, Wencan Jiang, Wenjuan Jiang, Wenna Jiang, Wenqing Jiang, Wenrong Jiang, Wenyi Jiang, X Jiang, X L Jiang, Xia Jiang, Xian-Cheng Jiang, Xiang Jiang, Xiang-Jun Jiang, Xiangjun Jiang, Xiangning Jiang, Xianta Jiang, Xiao Jiang, Xiao-Cui Jiang, Xiao-Lan Jiang, Xiao-Wen Jiang, Xiao-dan Jiang, Xiaobing Jiang, Xiaocong Jiang, Xiaofei Jiang, Xiaofeng Jiang, Xiaohua Jiang, Xiaohui Jiang, Xiaojuan Jiang, Xiaoli Jiang, Xiaolin Jiang, Xiaolu Jiang, Xiaomin Jiang, Xiaona Jiang, Xiaosong Jiang, Xiaotao Jiang, Xiaoting Jiang, Xiaowen Jiang, Xiaoxiao Jiang, Xiaoxue Jiang, Xiaoyan Jiang, Xiaoyi Jiang, Xiaoyu Jiang, Xihong Jiang, Xijing Jiang, Xin Jiang, Xinfeng Jiang, Xing Jiang, Xinghong Jiang, Xinglin Jiang, Xinhai Jiang, Xinlong Jiang, Xinwei Jiang, Xinyi Jiang, Xinyin Jiang, Xinyue Jiang, Xiong Jiang, Xiufeng Jiang, Xiulong Jiang, Xuanting Jiang, Xue Jiang, Xuejun Jiang, Xueli Jiang, Xuemei Jiang, Xueping Jiang, Xueqin Jiang, Xuexia Jiang, Xueying Jiang, Xuhong Jiang, Xun Jiang, Xunping Jiang, Xunwei Jiang, Y Jiang, Y-D Jiang, Ya-Ping Jiang, Yafei Jiang, Yali Jiang, Yamei Jiang, Yan Jiang, Yan-Yi Jiang, Yanan Jiang, Yanchao Jiang, Yanfang Jiang, Yanfeng Jiang, Yang Jiang, Yangfu Jiang, Yangyang Jiang, Yanji Jiang, Yanle Jiang, Yanming Jiang, Yanping Jiang, Yanshuang Jiang, Yanxin Jiang, Yanyan Jiang, Yanzhi Jiang, Yaofei Jiang, Yaona Jiang, Yaxi Jiang, Yazhuo Jiang, Yexiang Jiang, Yi Jiang, Yi-Xue Jiang, Yiao Jiang, Yida Jiang, Yilin Jiang, Yinan Jiang, Ying Jiang, Ying-Ming Jiang, Yingjie Jiang, Yingsong Jiang, Yingying Jiang, Yinhui Jiang, Yiran Jiang, Yiting Jiang, Yitong Jiang, Yong Fang Jiang, Yong Jiang, Yong-Li Jiang, Yong-Qing Jiang, Yong-Sheng Jiang, Yonghong Jiang, Yonghui Jiang, Yongliang Jiang, Yongpo Jiang, Yongqing Jiang, You-Hua Jiang, Youde Jiang, Youhai Jiang, Youming Jiang, Yu Jiang, Yu-Hang Jiang, Yu-Jia Jiang, Yu-Lin Jiang, Yu-Xuan Jiang, Yu-ping Jiang, Yuan Jiang, Yuanjun Jiang, Yuanyuan Jiang, Yue Jiang, Yue-Ming Jiang, Yue-Ping Jiang, Yuecheng Jiang, Yueping Jiang, Yuer Jiang, Yufeng Jiang, Yuhan Jiang, Yuhang Jiang, Yuhui Jiang, Yumin Jiang, Yun-Jin Jiang, Yunjing Jiang, Yunliang Jiang, Yunsheng Jiang, Yunxiu Jiang, Yunzhe Jiang, Yupeng Jiang, Yutao Jiang, Yuteng Jiang, Yuting Jiang, Yuwei Jiang, Yuwu Jiang, Z Gordon Jiang, Z Jiang, Z Y Jiang, Z-Y Jiang, Ze-Bin Jiang, Zesong Jiang, Zetan Jiang, Zeyu Jiang, Zhao Jiang, Zhao-Yan Jiang, Zhaodi Jiang, Zhaoshi Jiang, Zhen Jiang, Zheng Jiang, Zheng-Yuan Jiang, Zhengfan Jiang, Zhenghui G Jiang, Zhengming Jiang, Zhengqiao Jiang, Zhengwen Jiang, Zhengwu Jiang, Zhengxuan Jiang, Zhengyi Jiang, Zhentao Jiang, Zhi-Sheng Jiang, Zhi-Yan Jiang, Zhi-Ying Jiang, Zhichao Jiang, Zhicong Jiang, Zhiwei Jiang, Zhixia Jiang, Zhixin Jiang, Zhiying Jiang, Zhongshan Jiang, Zi-Hua Jiang, Zichao Jiang, Zipei Jiang, Ziqin Jiang, Ziyi Jiang, Ziying Jiang, Ziyu Jiang, Zong-Zhe Jiang
articles
Qinghua Jiang, Xiao Liang, Ting Ye +2 more · 2024 · International journal of molecular sciences · MDPI · added 2026-04-24
Underwater noise pollution has become a potential threat to aquatic animals in the natural environment. The main causes of such pollution are frequent human activities creating underwater environmenta Show more
Underwater noise pollution has become a potential threat to aquatic animals in the natural environment. The main causes of such pollution are frequent human activities creating underwater environmental noise, including commercial shipping, offshore energy platforms, scientific exploration activities, etc. However, in aquaculture environments, underwater noise pollution has also become an unavoidable problem due to background noise created by aquaculture equipment. Some research has shown that certain fish show adaptability to noise over a period of time. This could be due to fish's special auditory organ, i.e., their "inner ear"; meanwhile, otoliths and sensory hair cells are the important components of the inner ear and are also essential for the function of the auditory system. Recently, research in respect of underwater noise pollution has mainly focused on adult fish, and there is a lack of the research on the effects of underwater noise pollution on the development process of the auditory system in the embryonic development period. Thus, in this study, we collected embryo-larval samples of the small yellow croaker ( Show less
📄 PDF DOI: 10.3390/ijms25041954
CPS1
Hanjie Liu, Hui Yang, Shuqing Liu +7 more · 2024 · Journal of visualized experiments : JoVE · added 2026-04-24
Many sex-specific biomarkers have been recently revealed in Alzheimer's disease (AD); however, cerebral glial cells were rarely reported. This study analyzed 220,095 single-nuclei transcriptomes from Show more
Many sex-specific biomarkers have been recently revealed in Alzheimer's disease (AD); however, cerebral glial cells were rarely reported. This study analyzed 220,095 single-nuclei transcriptomes from the frontal cortex of thirty-three AD individuals in the GEO database. Sex-specific Differentially Expressed Genes (DEGs) were identified in glial cells, including 243 in astrocytes, 1,154 in microglia, and 572 in oligodendrocytes. Gene Ontology (GO) functional annotation analyses and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed functional concentration in synaptic, neural, and hormone-related pathways. Protein-protein interaction network (PPI) identified MT3, CALM2, DLG2, KCND2, PAKACB, CAMK2D, and NLGN4Y in astrocytes, TREM2, FOS, APOE, APP, and NLGN4Y in microglia, and GRIN2A, ITPR2, GNAS, and NLGN4Y in oligodendrocytes as key genes. NLGN4Y was the only gene shared by the three glia and was identified as the biomarker for the gender specificity of AD. Gene-transcription factor (TF)-miRNA coregulatory network identified key regulators for NLGN4Y and its target TCMs. Ecklonia kurome Okam (Kunbu) and Herba Ephedrae (Mahuang) were identified, and the effects of the active ingredients on AD were displayed. Finally, enrichment analysis of Kunbu and Mahuang suggested that they might act as therapeutic candidates for gender specificity of AD. Show less
no PDF DOI: 10.3791/66552
DLG2
Chengzhi Jiang, Binbin Zhang, Wenjuan Jiang +4 more · 2024 · Heliyon · Elsevier · added 2026-04-24
Environmental factors serve as one of the important pathogenic factors for gliomas. Yet people focus only on the effect of electromagnetic radiation on its pathogenicity, while metals in the environme Show more
Environmental factors serve as one of the important pathogenic factors for gliomas. Yet people focus only on the effect of electromagnetic radiation on its pathogenicity, while metals in the environment are neglected. This study aimed to investigate the relationship between metal ion stimulation and the clinical characteristics and immune status of GM patients. Firstly, mRNA expression profiles of GM patients and normal subjects were obtained from Chinese GM Genome Atlas (CGGA) and Gene Expression Omnibus (GEO) to identify differentially expressed metal ion stimulation-related genes(DEMISGs). Secondly, two molecular subtypes were identified and validated based on these DEMISGs using consensus clustering. Diagnostic and prognostic models for GM were constructed after screening these features based on machine learning. Finally, supervised classification and unsupervised clustering were combined to classify and predict the grade of GM based on SHAP values. GM patients are divided into two different response states to metal ion stimulation, M1 and M2, which are related to the grade and IDH status of the GM. Six genes with diagnostic value were obtained: SLC30A3, CRHBP, SYT13, DLG2, CDK1, and WNT5A. The AUC in the external validation set was higher than 0.90. The SHAP value improves the performance of classification prediction. The gene features associated with metal ion stimulation are related to the clinical and immune characteristics of transgenic patients. XGboost/LightGBM Kmeans has a higher classification prediction accuracy in predicting glioma grades compared to using purely supervised classification techniques. Show less
📄 PDF DOI: 10.1016/j.heliyon.2024.e27189
DLG2
Tianlong Zhang, Ying Cui, Siyi Jiang +6 more · 2024 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Clinical studies have indicated a comorbidity between sepsis and kidney diseases. Individuals with specific mutations that predispose them to kidney conditions are also at an elevated risk for develop Show more
Clinical studies have indicated a comorbidity between sepsis and kidney diseases. Individuals with specific mutations that predispose them to kidney conditions are also at an elevated risk for developing sepsis, and vice versa. This suggests a potential shared genetic etiology that has not been fully elucidated. Summary statistics data on exposure and outcomes were obtained from genome-wide association meta-analysis studies. We utilized these data to assess genetic correlations, employing a pleiotropy analysis method under the composite null hypothesis to identify pleiotropic loci. After mapping the loci to their corresponding genes, we conducted pathway analysis using Generalized Gene-Set Analysis of GWAS Data (MAGMA). Additionally, we utilized MAGMA gene-test and eQTL information (whole blood tissue) for further determination of gene involvement. Further investigation involved stratified LD score regression, using diverse immune cell data, to study the enrichment of SNP heritability in kidney-related diseases and sepsis. Furthermore, we employed Mendelian Randomization (MR) analysis to investigate the causality between kidney diseases and sepsis. In our genetic correlation analysis, we identified significant correlations among BUN, creatinine, UACR, serum urate, kidney stones, and sepsis. The PLACO analysis method identified 24 pleiotropic loci, pinpointing a total of 28 nearby genes. MAGMA gene-set enrichment analysis revealed a total of 50 pathways, and tissue-specific analysis indicated significant enrichment of five pairs of pleiotropic results in kidney tissue. MAGMA gene test and eQTL information (whole blood tissue) identified 33 and 76 pleiotropic genes, respectively. Notably, genes This study lays the groundwork for shared etiological factors between kidney and sepsis. The confirmed pleiotropic loci, shared pathogenic genes, and enriched pathways and immune cells have enhanced our understanding of the multifaceted relationships among these diseases. This provides insights for early disease intervention and effective treatment, paving the way for further research in this field. Show less
📄 PDF DOI: 10.3389/fendo.2024.1396041
DOCK7
Haiyang Jiang, Liting Deng, Zexing Lin +4 more · 2024 · International immunopharmacology · Elsevier · added 2026-04-24
There is growing evidence that the protein family of Gasdermins (GSDMs) play an essential role during the progression of colorectal cancer (CRC). However, it is not completely clear that how GSDMB, ab Show more
There is growing evidence that the protein family of Gasdermins (GSDMs) play an essential role during the progression of colorectal cancer (CRC). However, it is not completely clear that how GSDMB, abundantly expressed in epithelial cells of gastrointestinal tract, regulates the tumorigenesis of CRC. A wealth of evidence linking GSDMB to the pathogenesis of cancer has come from genome-wide association studies. Here, we provide evidence that aberrantly upregulated GSDMB is responsible for suppressing the CRC progression by using in vitro cell and intestinal organoid, as well as in vivo GSDMB transgenic mice models. Mechanistically, GSDMB interacts with insulin-like growth factor 2 mRNA-binding protein 1 (IGF2BP1), which directly binds to and recognizes the 3'-UTR of dual specificity phosphatase 6 (DUSP6) mRNA, enhances the translation of DUSP6 protein and inhibits downstream ERK phosphorylation, thereby facilitating cell death and restraining cell proliferation. Our results suggest that GSDMB has potential as a novel therapeutic target for CRC treatment. Show less
no PDF DOI: 10.1016/j.intimp.2024.113280
DUSP6
Yong Wang, Yan Lv, Xiaoli Jiang +5 more · 2024 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Megakaryopoiesis and platelet production is a complex process that is underpotential regulation at multiple stages. Many long non-coding RNAs (lncRNAs) are distributed in hematopoietic stem cells and Show more
Megakaryopoiesis and platelet production is a complex process that is underpotential regulation at multiple stages. Many long non-coding RNAs (lncRNAs) are distributed in hematopoietic stem cells and platelets. lncRNAs may play important roles as key epigenetic regulators in megakaryocyte differentiation and proplatelet formation. lncRNA NORAD can affect cell ploidy by sequestering PUMILIO proteins, although its direct effect on megakaryocyte differentiation and thrombopoiesis is still unknown. In this study, we demonstrate NORAD RNA is highly expressed in the cytoplasm during megakaryocyte differentiation. Interestingly, we identified for the first time that NORAD has a strong inhibitory effect on megakaryocyte differentiation and proplatelet formation from cultured megakaryocytes. DUSP6/ERK1/2 pathway is activated in response to NORAD knockdown during megakaryocytopoiesis, which is achieved by sequestering PUM2 proteins. Finally, compared with the wild-type control mice, NORAD knockout mice show a faster platelet recovery after severe thrombocytopenia induced by 6 Gy total body irradiation. These findings demonstrate lncRNA NORAD has a key role in regulating megakaryocyte differentiation and thrombopoiesis, which provides a promising molecular target for the treatment of platelet-related diseases such as severe thrombocytopenia. Show less
no PDF DOI: 10.1016/j.bbrc.2024.150004
DUSP6
Rongqi Jiang, Ping Li, Enqing Meng +3 more · 2024 · Translational oncology · Elsevier · added 2026-04-24
Circular RNAs (circRNAs) have been reported to be associated with the malignant phenotypes of cancer. However, the role and underlying mechanism of hsa_Circ₀₀₀₈₀₃₅ in colorectal cancer (CRC) remains Show more
Circular RNAs (circRNAs) have been reported to be associated with the malignant phenotypes of cancer. However, the role and underlying mechanism of hsa_Circ₀₀₀₈₀₃₅ in colorectal cancer (CRC) remains unclear. In this study, we elucidated the pivotal role of hsa_circ₀₀₀₈₀₃₅ in gastric cancer progression and immune evasion. Elevated hsa_circ₀₀₀₈₀₃₅ levels in gastric cancer patient serum correlated positively with disease advancement, including tumor stages and lymph node metastasis. Functional analyses revealed a negative association between hsa_circ₀₀₀₈₀₃₅ and CD8+ T cell number and function. Mechanistically, hsa_circ₀₀₀₈₀₃₅ encoded the novel protein EXT1-219aa, suppressing EXT1 phosphorylation and expression. Additionally, hsa_circ₀₀₀₈₀₃₅ regulated pyruvate metabolism by influencing the nucleus localization of PKM2. The identified EXT1/PKM2 axis further underscored the intricate regulatory mechanisms orchestrated by hsa_circ₀₀₀₈₀₃₅ in gastric cancer, offering potential diagnostic and therapeutic implications in the ongoing pursuit of targeted therapies for gastric cancer patients. Show less
📄 PDF DOI: 10.1016/j.tranon.2024.102004
EXT1
Caiyun Jiang, Yuanhang Shi, Xuefeng Shi +6 more · 2024 · Poultry science · Elsevier · added 2026-04-24
There was no significant difference in the composition and content of fatty acids in eggs among different breeds initially, but following the supplementation of flaxseed oil, Dwarf Layer were observed Show more
There was no significant difference in the composition and content of fatty acids in eggs among different breeds initially, but following the supplementation of flaxseed oil, Dwarf Layer were observed to deposit more n-3 polyunsaturated fatty acid (PUFA) in eggs. Currently, there is limited research on the mechanisms underlying the differences in egg composition among different breeds. Therefore, in this study, 150 twenty-four-wk-old hens of each breed, including the Dwarf Layer and White Leghorn, were fed either a basal diet or a diet supplemented with 2.5% flaxseed oil. After 28 d, eggs and liver samples were collected to determine fatty acid composition, and serum, liver, intestine, and follicles were collected for subsequent biochemical, intestinal morphology, and lipid metabolism-related genes expression analysis. Duodenal contents were collected for microbial analysis. The results showed that there was no significant difference in the content and deposition efficiency of total n-3 PUFA in the liver of the 2 breeds, but the content and deposition efficiency of total n-3 PUFA in the egg of Dwarf Layer were significantly higher than those of White Leghorn after feeding flaxseed oil. Flaxseed oil and breeds did not have significant effects on cholesterol (CHO), free fatty acids (NEFA), low-density lipoprotein (LDL), and estrogen (E Show less
📄 PDF DOI: 10.1016/j.psj.2024.104016
FADS1
Gioia Heravi, Zhenjie Liu, Mackenzie Herroon +11 more · 2024 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
Monounsaturated fatty acids (MUFAs) play a pivotal role in maintaining endoplasmic reticulum (ER) homeostasis, an emerging hallmark of cancer. However, the role of polyunsaturated fatty acid (PUFAs) d Show more
Monounsaturated fatty acids (MUFAs) play a pivotal role in maintaining endoplasmic reticulum (ER) homeostasis, an emerging hallmark of cancer. However, the role of polyunsaturated fatty acid (PUFAs) desaturation in persistent ER stress driven by oncogenic abnormalities remains elusive. Fatty Acid Desaturase 1 (FADS1) is a rate-limiting enzyme controlling the bioproduction of long-chain PUFAs. Our previous research has demonstrated the significant role of FADS1 in cancer survival, especially in kidney cancers. We explored the underlying mechanism in this study. We found that pharmacological inhibition or knockdown of the expression of FADS1 effectively inhibits renal cancer cell proliferation and induces cell cycle arrest. The stable knockdown of FADS1 also significantly inhibits tumor formation Show less
📄 PDF DOI: 10.1101/2024.03.23.586426
FADS1
Xuanxu Chen, Zhihui Zhao, Xinyi Jiang +5 more · 2024 · International journal of molecular sciences · MDPI · added 2026-04-24
Complement component 4 binding protein α (
📄 PDF DOI: 10.3390/ijms25042375
FADS1
Xueyan Wu, Lei Jiang, Hongyan Qi +16 more · 2024 · Translational psychiatry · Nature · added 2026-04-24
Epidemiological studies suggested an association between omega-3 fatty acids and cognitive function. However, the causal role of the fatty acid desaturase (FADS) gene, which play a key role in regulat Show more
Epidemiological studies suggested an association between omega-3 fatty acids and cognitive function. However, the causal role of the fatty acid desaturase (FADS) gene, which play a key role in regulating omega-3 fatty acids biosynthesis, on cognitive function is unclear. Hence, we used two-sample Mendelian randomization (MR) to estimate the gene-specific causal effect of omega-3 fatty acids (N = 114,999) on cognitive function (N = 300,486). Tissue- and cell type-specific effects of FADS1/FADS2 expression on cognitive function were estimated using brain tissue cis-expression quantitative trait loci (cis-eQTL) datasets (GTEx, N ≤ 209; MetaBrain, N ≤ 8,613) and single cell cis-eQTL data (N = 373), respectively. These causal effects were further evaluated in whole blood cis-eQTL data (N ≤ 31,684). A series of sensitivity analyses were conducted to validate MR assumptions. Leave-one-out MR showed a FADS gene-specific effect of omega-3 fatty acids on cognitive function [β = -1.3 × 10 Show less
📄 PDF DOI: 10.1038/s41398-024-02784-4
FADS1
Jiajia Yuan, Lin Shen, Tian Shu Liu +17 more · 2024 · Clinical and translational science · Blackwell Publishing · added 2026-04-24
Infigratinib, an FGFR1-3 selective oral tyrosine kinase inhibitor, has shown clinical activity in cancers with FGFR alterations. The pharmacokinetics (PK) of infigratinib and its major metabolites hav Show more
Infigratinib, an FGFR1-3 selective oral tyrosine kinase inhibitor, has shown clinical activity in cancers with FGFR alterations. The pharmacokinetics (PK) of infigratinib and its major metabolites have been characterized in global populations. This study examined the PK profile of infigratinib and its metabolites in Chinese patients. In this phase II, open-label, single-arm study in China, patients with advanced gastric cancer (GC) or gastroesophageal junction adenocarcinoma (GEJ) harboring FGFR2 gene amplification received 125 mg infigratinib orally once daily in a "3 weeks on, 1 week off" schedule for 28-day cycles. Plasma PK parameters were calculated with a non-compartmental model. Data were available from 21 patients (19 GC and two GEJ). After a single dose, peak infigratinib plasma concentration was reached at a median time of 3.1 h, with geometric mean C Show less
📄 PDF DOI: 10.1111/cts.70091
FGFR1
Pei Jiang, Xiangyu Ma, Xinlin Wang +12 more · 2024 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Small extracellular vesicles (sEVs) act as a critical mediator in intercellular communication. Compared to sEVs derived from in vitro sources, tissue-derived sEVs can reflect the in vivo signals relea Show more
Small extracellular vesicles (sEVs) act as a critical mediator in intercellular communication. Compared to sEVs derived from in vitro sources, tissue-derived sEVs can reflect the in vivo signals released from specific tissues more accurately. Currently, studies on the role of sEVs in the cochlea have relied on studying sEVs from in vitro sources. This study evaluates three cochlear tissue digestion and cochlear tissue-derived sEV (CDsEV) isolation methods, and first proposes that the optimal approach for isolating CDsEVs using collagenase D and DNase І combined with sucrose density gradient centrifugation. Furthermore, it comprehensively investigates CDsEV contents and cell origins. Small RNA sequencing and proteomics are performed to analyze the miRNAs and proteins of CDsEVs. The miRNAs and proteins of CDsEVs are crucial for maintaining normal auditory function. Among them, FGFR1 in CDsEVs may mediate the survival of cochlear hair cells via sEVs. Finally, the joint analysis of single CDsEV sequencing and single-cell RNA sequencing data is utilized to trace cellular origins of CDsEVs. The results show that different types of cochlear cells secrete different amounts of CDsEVs, with Kölliker's organ cells and supporting cells secrete the most. The findings are expected to enhance the understanding of CDsEVs in the cochlea. Show less
📄 PDF DOI: 10.1002/advs.202408964
FGFR1
Daimin Xiang, Junyu Liu, Yichuan Wang +13 more · 2024 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide and lacks biomarkers for personalized therapy. Herein, it is reported that MCB1 could be a novel oncofetal Show more
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide and lacks biomarkers for personalized therapy. Herein, it is reported that MCB1 could be a novel oncofetal protein that is upregulated in the preneoplastic lesions and serum of early HCC patients. Functional studies reveal that MCB1 modulated p53 protein degradation to promote T-IC generation and drive HCC initiation. Furthermore, the MCB1/p53 axis is shown to determine the responses of hepatoma cells to conventional chemotherapeutics and predict transcatheter arterial chemoembolization (TACE) benefits in patients. Importantly, MCB1 can mediate sorafenib/lenvatinib resistance by downregulating two essential drug targets fibroblast growth factor receptor 1 (FGFR1) and vascular endothelial growth factor receptor 3 (VEGFR3) expression in a proteasome-dependent manner. Patient-derived tumor organoids (PDOs), patient-derived xenografts (PDXs), and patient cohorts analysis suggested that MCB1 levels in HCCs may determine the distinct responses to conventional therapeutics and targeted drugs. Furthermore, treatment of targeted drugs-resistant HCC with adeno-associated virus (AAV) targeting MCB1 or a proteasome inhibitor restores targeted drug response, suggesting their clinical significance in HCC combinational therapy. In conclusion, these findings demonstrate that MCB1 could act as a driver for HCC initiation, a contributor to drug resistance, and a biomarker for individualized HCC therapy. Show less
📄 PDF DOI: 10.1002/advs.202401228
FGFR1
Hongyu Chen, Guangjie Chen, Fengxia Li +6 more · 2024 · Biology of sex differences · BioMed Central · added 2026-04-24
46,XY disorders of sex development (46,XY DSD) are characterized by incomplete masculinization of genitalia with reduced androgenization. Accurate clinical management remains challenging, especially b Show more
46,XY disorders of sex development (46,XY DSD) are characterized by incomplete masculinization of genitalia with reduced androgenization. Accurate clinical management remains challenging, especially based solely on physical examination. Targeted next-generation sequencing (NGS) with known pathogenic genes provides a powerful tool for diagnosis efficiency. This study aims to identify the prevalent genetic variants by targeted NGS technology and investigate the diagnostic rate in a large cohort of 46,XY DSD patients, with most of them presenting atypical phenotypes. Two different DSD panels were developed for sequencing purposes, targeting a cohort of 402 patients diagnosed with 46,XY DSD, who were recruited from the Department of Urology at Children's Hospital, Zhejiang University School of Medicine (Hangzhou, China). The detailed clinical characteristics were evaluated, and peripheral blood was collected for targeted panels to find the patients' variants. The clinical significance of these variants was annotated according to American College of Medical Genetics and Genomics (ACMG) guidelines. A total of 108 variants across 42 genes were found in 107 patients, including 46 pathogenic or likely pathogenic variants, with 45.7%(21/46) being novel. Among these genes, SRD5A2, AR, FGFR1, LHCGR, NR5A1, CHD7 were the most frequently observed. Besides, we also detected some uncommon causative genes like SOS1, and GNAS. Oligogenic variants were also identified in 9 patients, including several combinations PROKR2/FGFR1/CYP11B1, PROKR2/ATRX, PROKR2/AR, FGFR1/LHCGR/POR, FGFR1/NR5A1, GATA4/NR5A1, WNT4/AR, MAP3K1/FOXL2, WNT4/AR, and SOS1/FOXL2. The overall genetic diagnostic rate was 11.2%(45/402), with an additional 15.4% (62/402) having variants of uncertain significance. Additionally, trio/duo patients had a higher genetic diagnostic rate (13.4%) compared to singletons (8.6%), with a higher proportion of singletons (15.1%) presenting variants of uncertain significance. In conclusion, targeted gene panels identified pathogenic variants in a Chinese 46,XY DSD cohort, expanding the genetic understanding and providing evidence for known pathogenic genes' involvement. Show less
📄 PDF DOI: 10.1186/s13293-024-00648-6
FGFR1
Jingjing Jiang, Yujun Liu · 2024 · Best practice & research. Clinical endocrinology & metabolism · Elsevier · added 2026-04-24
Pheochromocytomas and paragangliomas (PPGLs) represent the highest degree of heritability of any known tumor types in humans. Previous studies have characterized a dramatic difference between Chinese Show more
Pheochromocytomas and paragangliomas (PPGLs) represent the highest degree of heritability of any known tumor types in humans. Previous studies have characterized a dramatic difference between Chinese and European Caucasians with regards to both genetics and clinical features of PPGLs. The proportion of PGLs in Chinese patients was higher than in Caucasians, and the prevalence of metastasis was much lower in Chinese patients. Compared with Caucasians, there were more pathogenic variants (PVs) found in HRAS and FGFR1, but less in NF1 and SDHB. There were less germline PVs found in Chinese patients. Importantly, in Chinese patients, there was a large proportion of PGLs with PVs found in HRAS and FGFR1, mostly with epinephrine-producing capacity. This finding provided solid evidence that genetics (cluster 1 vs. 2), rather than location (PCC vs. PGL), determines the catecholamine-producing phenotype. Besides, the lower prevalence of SDHB partially explained lower occurrence of metastatic lesions in Chinese patients. These findings underscore the importance of considering ethnic differences when evaluating PPGLs and patient outcomes. Show less
no PDF DOI: 10.1016/j.beem.2024.101928
FGFR1
Junjun Qiu, Tingting Ren, Qinqin Liu +7 more · 2024 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
High-grade serous tubo-ovarian cancer (HGSTOC) is an aggressive gynecological malignancy including homologous recombination deficient (HRD) and homologous recombination proficient (HRP) groups. Despit Show more
High-grade serous tubo-ovarian cancer (HGSTOC) is an aggressive gynecological malignancy including homologous recombination deficient (HRD) and homologous recombination proficient (HRP) groups. Despite the therapeutic potential of poly (ADP-ribose) polymerase inhibitors (PARPis) and anti-PDCD1 antibodies, acquired resistance in HRD and suboptimal response in HRP patients necessitate more precise treatment. Herein, single-cell RNA and single-cell T-cell receptor sequencing on 5 HRD and 3 HRP tumors are performed to decipher the heterogeneous tumor immune microenvironment (TIME), along with multiplex immunohistochemistry staining and animal experiments for validation. HRD tumors are enriched with immunogenic epithelial cells, FGFR1+PDGFRβ+ myCAFs, M1 macrophages, tumor reactive CD8+/CD4+ Tregs, whereas HRP tumors are enriched with HDAC1-expressing epithelial cells, indolent CAFs, M2 macrophages, and bystander CD4+/CD8+ T cells. Significantly, customized therapies are proposed. For HRD patients, targeting FGFR1+PDGFRβ+ myCAFs via tyrosine kinase inhibitors, targeting Tregs via anti-CCR8 antibodies/TNFRSF4 stimulation, and targeting CXCL13+ exhausted T cells by blocking PDCD1/CTLA-4/LAG-3/TIGIT are proposed. For HRP patients, targeting indolent CAFs, targeting M2 macrophages via CSF-1/CSF-1R inhibitors, targeting bystander T cells via tumor vaccines, and targeting epithelial cells via HDAC inhibitors. The study provides comprehensive insights into HRD and HRP TIME and tailored therapeutic approaches, addressing the challenges of PARPi-resistant HRD and refractory HRP tumors. Show less
📄 PDF DOI: 10.1002/advs.202309755
FGFR1
Zhong-Qiang Yao, Hui-Hui Jiang, Fei-Fei Wang +9 more · 2024 · Journal of Cancer · added 2026-04-24
📄 PDF DOI: 10.7150/jca.95191
FGFR1
Yue Lv, Chengrui Zhao, Qiuyan Jiang +7 more · 2024 · Molecular biology reports · Springer · added 2026-04-24
Obesity is associated with a wide variety of metabolic disorders that impose significant burdens on patients and society. The "browning" phenomenon in white adipose tissue (WAT) has emerged as a promi Show more
Obesity is associated with a wide variety of metabolic disorders that impose significant burdens on patients and society. The "browning" phenomenon in white adipose tissue (WAT) has emerged as a promising therapeutic strategy to combat metabolic disturbances. However, though the anti-diabetic drug dapagliflozin (DAPA) is thought to promote "browning," the specific mechanism of this was previously unclear. In this study, C57BL/6 J male mice were used to establish an obesity model by high-fat diet feeding, and 3T3-L1 cells were used to induce mature adipocytes and to explore the role and mechanism of DAPA in "browning" through a combination of in vitro and in vivo experiments. The results show that DAPA promotes WAT "browning" and improves metabolic disorders. Furthermore, we discovered that DAPA activated "browning" through the fibroblast growth factor receptors 1-liver kinase B1-adenosine monophosphate-activated protein kinase signaling pathway. These findings provide a rational basis for the use of DAPA in treating obesity by promoting the browning of white adipose tissue. Show less
📄 PDF DOI: 10.1007/s11033-024-09540-3
FGFR1
Rui Peng, Yan Chen, Liangnian Wei +6 more · 2024 · Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · Springer · added 2026-04-24
no PDF DOI: 10.1007/s10120-024-01489-3
FGFR1
Q Lu, N Wang, K Jiang +6 more · 2024 · ESMO open · Elsevier · added 2026-04-24
Breast cancer brain metastasis (BCBM) is a crucial issue in the treatment of breast cancer and is associated with poor prognosis. Therefore, novel therapeutic targets are urgently needed in clinical p Show more
Breast cancer brain metastasis (BCBM) is a crucial issue in the treatment of breast cancer and is associated with poor prognosis. Therefore, novel therapeutic targets are urgently needed in clinical practice. In this study, we aimed to identify potential actionable targets in brain metastases (BMs) utilising the FoundationOne® CDx (F1CDx). Formalin-fixed paraffin-embedded archived specimens including 16 primary breast tumours (PTs), 49 BCBMs and 7 extracranial metastases (ECMs) from 54 patients who underwent surgery for BCBM were tested using F1CDx. Tumour-infiltrated lymphocytes (TILs) of BMs were also tested using haematoxylin-eosin staining. The median tumour mutational burden (TMB) and TILs in BMs were 5.0 (range 0-29) mut/Mb and 1.0% (range 0%-5.0%), respectively. High TMB (≥10 mut/Mb) was detected in four cases (8%). Genomic alterations (GAs) were detected in all samples. The top-ranked somatic mutations in BMs were TP53 (82%), PIK3CA (35%), MLL2 (22%), BRCA2 (14%) and ATM (14%) and the most prevalent copy number alterations were ERBB2 (64%), RAD21 (36%), CCND1 (32%), FGF19 (30%) and FGF3 (30%). The most prevalent GAs were relatively consistent between paired PTs and BMs. Actionable GAs were detected in 94% of all BMs. Consistent rate in actionable GAs was 38% (6/16) between paired PTs/ECMs and BMs. Compared to matched PTs/ECMs, additional actionable GAs (BRAF, FGFR1, PTEN, KIT and CCND1) were discovered in 31% (5/16) of the BMs. TMB and TILs were relatively low in BCBMs. Comparable consistency in actionable GAs was identified between BCBMs and matched PTs/ECMs. It was, therefore, logical to carry out genomic testing for BCBMs to identify potential new therapeutic targets when BCBM specimens were available, as ∼31% of samples carried additional actionable GAs. Show less
📄 PDF DOI: 10.1016/j.esmoop.2024.102389
FGFR1
Xiaojuan Chen, Huiliang Li, Qianmeng Lin +9 more · 2024 · European journal of medicinal chemistry · Elsevier · added 2026-04-24
Aberrant signaling via fibroblast growth factor 19 (FGF19)/fibroblast growth factor receptor 4 (FGFR4) has been identified as a driver of tumorigenesis and the development of many solid tumors, making Show more
Aberrant signaling via fibroblast growth factor 19 (FGF19)/fibroblast growth factor receptor 4 (FGFR4) has been identified as a driver of tumorigenesis and the development of many solid tumors, making FGFR4 is a promising target for anticancer therapy. Herein, we designed and synthesized a series of bis-acrylamide covalent FGFR4 inhibitors and evaluated their inhibitory activity against FGFRs, FGFR4 mutants, and their antitumor activity. CXF-007, verified by mass spectrometry and crystal structures to form covalent bonds with Cys552 of FGFR4 and Cys488 of FGFR1, exhibited stronger selectivity and potent inhibitory activity for FGFR4 and FGFR4 cysteine mutants. Moreover, CXF-007 exhibited significant antitumor activity in hepatocellular carcinoma cell lines and breast cancer cell lines through sustained inhibition of the FGFR4 signaling pathway. In summary, our study highlights a novel covalent FGFR4 inhibitor, CXF-007, which has the potential to overcome drug-induced FGFR4 mutations and might provide a new strategy for future anticancer drug discovery. Show less
no PDF DOI: 10.1016/j.ejmech.2024.116281
FGFR1
Yanting Shen, Yu Luo, Minghao Li +7 more · 2024 · Endocrine · Springer · added 2026-04-24
Adrenal and extra-adrenal paragangliomas (PGLs) are a group of neuroendocrine tumors (NETs) with strong heterogeneity, which often express somatostatin receptor subtype 2 A (SSTR2A). However, the asso Show more
Adrenal and extra-adrenal paragangliomas (PGLs) are a group of neuroendocrine tumors (NETs) with strong heterogeneity, which often express somatostatin receptor subtype 2 A (SSTR2A). However, the association between SSTR2A expression and genetic status of PGLs remains unclear. The purpose of the study was to identify whether various pathogenic variants (PVs) had an impact on SSTR2A expression in PGLs. This retrospective study included 184 patients with pathologically confirmed PGLs. The immunohistochemical expression of SSTR2A were studied in 184 tumors and PVs were tested in 159 tumor samples. Clinical and genetic data were compared in SSTR2A positive and negative PGLs. SSTR2A was positive in 63.6% (117/184) of all tumors. PGLs with negative SSTR2A were more likely to be extra-adrenal (37.0% vs 18.0%; P = 0.005) and exhibited a considerably greater proportion of PVs (75.4% vs. 49.0%; P = 0.001) than those with positive SSTR2A. Compared to those without PVs, a higher proportion of PGLs with PVs in cluster 1B (P = 0.004) and cluster 2 (P = 0.004) genes, especially VHL (P = 0.009), FGFR1 (P = 0.010) and HRAS (P = 0.007), were SSTR2A negative. SSTR2A was positive in all tumors (4/4) with SDHx PVs and in 87.5% (7/8) of metastatic PGLs. SSTR2A negativity was correlated with extra-adrenal tumor location and PVs in cluster 1B and cluster 2 genes such as VHL, FGFR1 and HRAS. Immunohistochemistry of SSTR2A should be taken into consideration in the personalized management of PGLs. Show less
📄 PDF DOI: 10.1007/s12020-023-03595-1
FGFR1
Yanran Bi, Ruiling Zheng, Jiahao Hu +9 more · 2024 · Genes & diseases · Elsevier · added 2026-04-24
[This corrects the article DOI: 10.1016/j.gendis.2023.02.035.].
no PDF DOI: 10.1016/j.gendis.2023.101168
FGFR1
Yan-Ni Zhao, Zhou-di Liu, Tao Yan +7 more · 2024 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Non-alcoholic fatty liver disease (NAFLD) is a common metabolic disease that is substantially associated with obesity-induced chronic inflammation. Macrophage activation and macrophage-medicated infla Show more
Non-alcoholic fatty liver disease (NAFLD) is a common metabolic disease that is substantially associated with obesity-induced chronic inflammation. Macrophage activation and macrophage-medicated inflammation play crucial roles in the development and progression of NAFLD. Furthermore, fibroblast growth factor receptor 1 (FGFR1) has been shown to be essentially involved in macrophage activation. This study investigated the role of FGFR1 in the NAFLD pathogenesis and indicated that a high-fat diet (HFD) increased p-FGFR1 levels in the mouse liver, which is associated with increased macrophage infiltration. In addition, macrophage-specific FGFR1 knockout or administration of FGFR1 inhibitor markedly protected the liver from HFD-induced lipid accumulation, fibrosis, and inflammatory responses. The mechanistic study showed that macrophage-specific FGFR1 knockout alleviated HFD-induced liver inflammation by suppressing the activation of MAPKs and TNF signaling pathways and reduced fat deposition in hepatocytes, thereby inhibiting the activation of hepatic stellate cells. In conclusion, the results of this research revealed that FGFR1 could protect the liver of HFD-fed mice by inhibiting MAPKs/TNF-mediated inflammatory responses in macrophages. Therefore, FGFR1 can be employed as a target to prevent the development and progression of NAFLD. Show less
no PDF DOI: 10.1038/s41401-024-01226-7
FGFR1
Yanran Bi, Ruiling Zheng, Jiahao Hu +9 more · 2024 · Genes & diseases · Elsevier · added 2026-04-24
Glioblastoma (GBM) is a malignant brain tumor that grows quickly, spreads widely, and is resistant to treatment. Fibroblast growth factor receptor (FGFR)1 is a receptor tyrosine kinase that regulates Show more
Glioblastoma (GBM) is a malignant brain tumor that grows quickly, spreads widely, and is resistant to treatment. Fibroblast growth factor receptor (FGFR)1 is a receptor tyrosine kinase that regulates cellular processes, including proliferation, survival, migration, and differentiation. FGFR1 was predominantly expressed in GBM tissues, and FGFR1 expression was negatively correlated with overall survival. We rationally designed a novel small molecule CYY292, which exhibited a strong affinity for the FGFR1 protein in GBM cell lines Show less
📄 PDF DOI: 10.1016/j.gendis.2023.02.035
FGFR1
Yatu Guo, Jiahui Qin, Ruiqiang Sun +7 more · 2024 · Biological research · BioMed Central · added 2026-04-24
Retinopathy of Prematurity (ROP) is a proliferative retinal vascular disease occurring in the retina of premature infants and is the main cause of childhood blindness. Nowadays anti-VEGF and retinal p Show more
Retinopathy of Prematurity (ROP) is a proliferative retinal vascular disease occurring in the retina of premature infants and is the main cause of childhood blindness. Nowadays anti-VEGF and retinal photocoagulation are mainstream treatments for ROP, but they develop a variety of complications. Hydrogen (H In this study, mice that were seven days old and either wild-type (WT) or Nrf2-deficient (Nrf2-/-) were exposed to 75% oxygen for 5 days and then returned to normal air conditions. Different stages of hydrogen gas (H Our results indicate that 3-4% H Collectively, our results indicate that H Show less
📄 PDF DOI: 10.1186/s40659-024-00515-z
HEY2
Li-Juan Duan, Yida Jiang, Guo-Hua Fong · 2024 · Development (Cambridge, England) · added 2026-04-24
Prolyl hydroxylase domain (PHD) proteins are oxygen sensors that use intracellular oxygen as a substrate to hydroxylate hypoxia-inducible factor (HIF) α proteins, routing them for polyubiquitylation a Show more
Prolyl hydroxylase domain (PHD) proteins are oxygen sensors that use intracellular oxygen as a substrate to hydroxylate hypoxia-inducible factor (HIF) α proteins, routing them for polyubiquitylation and proteasomal degradation. Typically, HIFα accumulation in hypoxic or PHD-deficient tissues leads to upregulated angiogenesis. Here, we report unexpected retinal phenotypes associated with endothelial cell (EC)-specific gene targeting of Phd2 (Egln1) and Hif2alpha (Epas1). EC-specific Phd2 disruption suppressed retinal angiogenesis, despite HIFα accumulation and VEGFA upregulation. Suppressed retinal angiogenesis was observed both in development and in the oxygen-induced retinopathy (OIR) model. On the other hand, EC-specific deletion of Hif1alpha (Hif1a), Hif2alpha, or both did not affect retinal vascular morphogenesis. Strikingly, retinal angiogenesis appeared normal in mice double-deficient for endothelial PHD2 and HIF2α. In PHD2-deficient retinal vasculature, delta-like 4 (DLL4, a NOTCH ligand) and HEY2 (a NOTCH target) were upregulated by HIF2α-dependent mechanisms. Inhibition of NOTCH signaling by a chemical inhibitor or DLL4 antibody partially rescued retinal angiogenesis. Taken together, our data demonstrate that HIF2α accumulation in retinal ECs inhibits rather than stimulates retinal angiogenesis, in part by upregulating DLL4 expression and NOTCH signaling. Show less
no PDF DOI: 10.1242/dev.202802
HEY2
Liang Huang, Yu Xie, Shusuan Jiang +3 more · 2024 · Scientific reports · Nature · added 2026-04-24
Prostate cancer, one of the most prevalent malignancies among men worldwide, is intricately linked with androgen signaling, a key driver of its pathogenesis and progression. Understanding the diverse Show more
Prostate cancer, one of the most prevalent malignancies among men worldwide, is intricately linked with androgen signaling, a key driver of its pathogenesis and progression. Understanding the diverse expression patterns of androgen-responsive genes holds paramount importance in unraveling the biological intricacies of this disease and prognosticating patient outcomes. In this study, utilizing consensus clustering analysis based on the expression profiles of androgen-responsive genes, prostate cancer patients from the TCGA database were stratified into two distinct subtypes, denoted as C1 and C2. Notably, the C1 subtype demonstrates a significant upregulation of certain genes, such as CGA and HSD17B12, along with a shorter progression-free survival duration, indicating a potentially unfavorable prognosis. Further analyses elucidated the immune infiltration disparities, mutation landscapes, and gene functional pathways characteristic of each subtype. Through integrated bioinformatics approaches and machine learning techniques, key genes such as BIRC5, CENPA, and MMP11 were identified as potential therapeutic targets, providing novel insights into tailored treatment strategies. Additionally, single-cell transcriptome analysis shed light on the heterogeneous expression patterns of these genes across different cell types within the tumor microenvironment. Furthermore, virtual screening identified candidate drugs targeting the BIRC5 receptor, offering promising avenues for drug development. Collectively, these findings deepen our understanding of prostate cancer biology, paving the way for personalized therapeutic interventions and advancing the quest for more effective treatments in prostate cancer management. Show less
📄 PDF DOI: 10.1038/s41598-024-68863-0
HSD17B12
Songrui Di, Yipeng Li, Xiangchen Fu +8 more · 2024 · International journal of molecular sciences · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/ijms252312967
IL27